Which is better: GPT-6.1 Terra or Kimi K3?

Verdict: GPT-6.1 Terra ranks higher (#35 vs #74) and wins 4 of 5 shared benchmarks; GPT-6.1 Terra costs less ($1.00/$5.00 vs $3.00/$15.0 per 1M tokens). AskClash compares GPT-6.1 Terra and Kimi K3 side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, AskClash ACB, and context window so you can see which model wins on each benchmark.

How do GPT-6.1 Terra and Kimi K3 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both GPT-6.1 Terra and Kimi K3 when publicly disclosed.

LLM Comparison

GPT-6.1 Terra vs Kimi K3: benchmark scores, pricing & comparison.

Side-by-side GPT-6.1 Terra vs Kimi K3 comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Verdict: GPT-6.1 Terra ranks higher (#35 vs #74) and wins 4 of 5 shared benchmarks; GPT-6.1 Terra costs less ($1.00/$5.00 vs $3.00/$15.0 per 1M tokens).

Open live leaderboard GPT-6.1 Terra model page Kimi K3 model page

Rank #35 vs #74AskClash overall scores 61.7 vs 56.0.

Pricing $1.00/$5.00 vs $3.00/$15.0Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightOpenAI vs Moonshot AI.

GPT-6.1 Terra vs Kimi K3 benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

Metric	GPT-6.1 Terra	Kimi K3
Overall Score	61.7	56.0
Leaderboard Rank	#35	#74
ACB	62.1	57.7
RWT	—	8.0
HLE	46.2	43.5
GPQA	—	93.5
Terminal-Bench	55.6	12.6
DeepSWE	—	68.5
GDPval-AA	1467.6	1668.0
MCP Atlas	—	84.2
Finance Agent	—	53.1
CharXiv	—	84.8
MMMU-Pro	84.7	81.6
Input Price (per 1M tokens)	$1.00	$3.00
Output Price (per 1M tokens)	$5.00	$15.0
Context Window	1.05M	1M
Benchmarks Published	8	13

GPT-6.1 Terra vs Kimi K3 head-to-head charts

GPT-6.1 Terra leads 5 and Kimi K3 leads 1 of 6 shared benchmarks. GPT-6.1 Terra is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-6.1 TerraKimi K3

Overall

61.7GPT-6.1 Terra

56.0Kimi K3

ACB

62.1GPT-6.1 Terra

57.7Kimi K3

HLE

46.2GPT-6.1 Terra

43.5Kimi K3

Terminal-Bench

55.6GPT-6.1 Terra

12.6Kimi K3

GDPval-AA

1467.6GPT-6.1 Terra

1668.0Kimi K3

MMMU-Pro

84.7GPT-6.1 Terra

81.6Kimi K3

GPT-6.1 Terra

Input$1.00

Output$5.00

Workload$2.00

Context1.05M

Kimi K3

Input$3.00

Output$15.0

Workload$6.00

Context1M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More GPT-6.1 Terra and Kimi K3 comparisons

Explore how GPT-6.1 Terra and Kimi K3 stack up against other top-ranked LLMs.

Kimi K3.1 Pro vs GPT-6.1 Terra Kimi K3.1 Pro vs Kimi K3 Claude Opus 5.5 vs GPT-6.1 Terra Claude Opus 5.5 vs Kimi K3 Claude Fable 5.1 vs GPT-6.1 Terra Claude Fable 5.1 vs Kimi K3 Claude Sonnet 5.5 vs GPT-6.1 Terra Claude Sonnet 5.5 vs Kimi K3 Claude Opus 5 vs GPT-6.1 Terra Claude Opus 5 vs Kimi K3

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.